FDA Radiology AI Devices

GI Genius is an artificial intelligence-based software device designed to assist endoscopists during colonoscopy. It analyzes live video images from standard white-light endoscopy in real time and highlights abnormal colonic mucosal lesions such as polyps and adenomas to aid detection. By providing visual markers on the video display, it helps clinicians identify lesions that might be missed, improving detection rates and supporting clinical decision making.

Change Healthcare Anatomical AI is a standalone software that uses AI algorithms to analyze CT and MR images, automatically identifying anatomical regions and creating detailed anatomic descriptors. This information helps clinicians and integrated healthcare systems quickly locate and categorize relevant images or studies without altering the original images.

Oxehealth Vital Signs is a software device that uses optical cameras to noninvasively measure pulse rate and estimated breathing rate from video footage of patients. It facilitates vital sign monitoring in single-occupancy hospital rooms and care environments without physical contact, helping clinicians monitor patients effectively, especially those who do not require critical or continuous monitoring.

RayStation 10.1 is a software platform used to plan, analyze, and administer radiation therapy treatment and medical oncology. It helps clinicians generate and review treatment plans based on imaging data and user input, including advanced features like brachytherapy and ocular proton treatment planning. This system supports improved treatment accuracy and workflow efficiency for radiation oncology professionals.

QMENTA Care Platform Family is a software system that helps hospitals and clinicians receive, store, and analyze medical images from CT, MRI, and PET/CT scans. It integrates multiple AI-powered applications to process these images, assisting doctors in diagnosing by providing advanced image analysis and organized data accessible over a network.

EnsoSleep is a software medical device designed to analyze previously recorded physiological signals from sleep studies to automatically score sleep stages, detect arousals, leg movements, and various types of sleep-disordered breathing events. It supports both adult and pediatric patients and can be used for in-lab or home sleep tests. EnsoSleep assists clinicians by providing automated detection and scoring of events, which are then verified and can be edited by qualified clinicians to aid in diagnosing sleep disorders.

IDx-DR is an AI software device designed to help healthcare providers automatically detect more than mild diabetic retinopathy in diabetic adult patients using retinal fundus images. It assists clinicians by analyzing images captured from a specialized retinal camera and providing a diagnostic screening result, thus potentially improving early detection and management of diabetic eye disease.

The syngo.via MI WorkFlows, including Scenium and syngo MBF, is a software suite from Siemens designed to assist healthcare professionals by providing advanced image processing, visualization, and quantitative analysis for multiple medical imaging modalities such as PET, CT, MRI, and SPECT. It supports disease management in oncology, cardiology, neurology, and organ function, helping clinicians interpret complex images and plan treatments more effectively.

The Zio ECG Utilization Software (ZEUS) System is a software platform that processes and analyzes long-term continuous ECG data collected from compatible cardiac monitoring devices. It helps clinicians by automatically detecting and reporting cardiac arrhythmias and other relevant heart rhythm information, assisting in the diagnosis and management of cardiac conditions.

Oncospace is a software system designed to assist radiation oncologists and medical dosimetrists in planning radiotherapy treatments for prostate, thoracic, pancreas, and head & neck cancers. It uses machine learning to predict personalized dose goals for organs at risk, helping clinicians optimize treatment plans more efficiently and safely, potentially reducing the number of iterations needed for plan approval.